Bipartite consensus of nonlinear agents in the presence of communication noise
| dc.contributor.author | Mondal, Sabyasachi | |
| dc.contributor.author | Tsourdos, Antonios | |
| dc.date.accessioned | 2022-03-25T15:54:19Z | |
| dc.date.available | 2022-03-25T15:54:19Z | |
| dc.date.issued | 2022-03-18 | |
| dc.description.abstract | In this paper, a Distributed Nonlinear Dynamic Inversion (DNDI)-based consensus protocol is designed to achieve the bipartite consensus of nonlinear agents over a signed graph. DNDI inherits the advantage of nonlinear dynamic inversion theory, and the application to the bipartite problem is a new idea. Moreover, communication noise is considered to make the scenario more realistic. The convergence study provides a solid theoretical base, and a realistic simulation study shows the effectiveness of the proposed protocol. | en_UK |
| dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC): EP/R009953/1 | en_UK |
| dc.identifier.citation | Sabyasachi M, Tsourdos A. (2022) Bipartite consensus of nonlinear agents in the presence of communication noise, Sensors, Volume 22, Issue 6, March 2022, Article number 2357 | en_UK |
| dc.identifier.issn | 1424-8220 | |
| dc.identifier.uri | https://doi.org/10.3390/s22062357 | |
| dc.identifier.uri | https://dspace.lib.cranfield.ac.uk/handle/1826/17689 | |
| dc.language.iso | en | en_UK |
| dc.publisher | MDPI | en_UK |
| dc.rights | Attribution 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | bipartite consensus | en_UK |
| dc.subject | Distributed Nonlinear Dynamic Inversion | en_UK |
| dc.subject | communication noise | en_UK |
| dc.subject | signed graph | en_UK |
| dc.title | Bipartite consensus of nonlinear agents in the presence of communication noise | en_UK |
| dc.type | Article | en_UK |